Pandas Profiling Report

Dataset statistics

Number of variables	10
Number of observations	46180
Missing cells	1804
Missing cells (%)	0.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.5 MiB
Average record size in memory	80.0 B

Variable types

Numeric	7
Categorical	3

Alerts

`Fecha` has a high cardinality: 1846 distinct values	High cardinality
`Fecha_Entrega` has a high cardinality: 2146 distinct values	High cardinality
`IdVenta` is highly correlated with `IdSucursal` and 1 other fields	High correlation
`IdSucursal` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdEmpleado` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdVenta` is highly correlated with `IdSucursal` and 1 other fields	High correlation
`IdSucursal` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdEmpleado` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdVenta` is highly correlated with `IdSucursal` and 1 other fields	High correlation
`IdSucursal` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdEmpleado` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdVenta` is highly correlated with `IdSucursal` and 1 other fields	High correlation
`IdSucursal` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdEmpleado` is highly correlated with `IdVenta` and 1 other fields	High correlation
`Precio` has 920 (2.0%) missing values	Missing
`Cantidad` has 884 (1.9%) missing values	Missing
`Precio` is highly skewed (γ1 = 109.2895317)	Skewed
`Cantidad` is highly skewed (γ1 = 28.27378552)	Skewed
`IdVenta` has unique values	Unique

Reproduction

Analysis started	2022-06-23 01:54:06.893874
Analysis finished	2022-06-23 01:54:15.790947
Duration	8.9 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

IdVenta
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	46180
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23151.53428

Minimum	1
Maximum	47600
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Dataset statistics

Number of variables	10
Number of observations	46180
Missing cells	1804
Missing cells (%)	0.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.5 MiB
Average record size in memory	80.0 B

Variable types

Numeric	7
Categorical	3

Alerts

`Fecha` has a high cardinality: 1846 distinct values	High cardinality
`Fecha_Entrega` has a high cardinality: 2146 distinct values	High cardinality
`IdVenta` is highly correlated with `IdSucursal` and 1 other fields	High correlation
`IdSucursal` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdEmpleado` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdVenta` is highly correlated with `IdSucursal` and 1 other fields	High correlation
`IdSucursal` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdEmpleado` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdVenta` is highly correlated with `IdSucursal` and 1 other fields	High correlation
`IdSucursal` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdEmpleado` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdVenta` is highly correlated with `IdSucursal` and 1 other fields	High correlation
`IdSucursal` is highly correlated with `IdVenta` and 1 other fields	High correlation
`IdEmpleado` is highly correlated with `IdVenta` and 1 other fields	High correlation
`Precio` has 920 (2.0%) missing values	Missing
`Cantidad` has 884 (1.9%) missing values	Missing
`Precio` is highly skewed (γ1 = 109.2895317)	Skewed
`Cantidad` is highly skewed (γ1 = 28.27378552)	Skewed
`IdVenta` has unique values	Unique

Reproduction

Analysis started	2022-06-23 04:53:18.024244
Analysis finished	2022-06-23 04:53:32.654537
Duration	14.63 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

IdVenta
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	46180
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23151.53428

Minimum	1
Maximum	47600
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2309.95
Q1	11545.75
median	23090.5
Q3	34635.25
95-th percentile	44444.05
Maximum	47600
Range	47599
Interquartile range (IQR)	23089.5

Descriptive statistics

Standard deviation	13432.58594
Coefficient of variation (CV)	0.58020284
Kurtosis	-1.170883379
Mean	23151.53428
Median Absolute Deviation (MAD)	11545
Skewness	0.02392432839
Sum	1069137853
Variance	180434365
Monotonicity	Strictly increasing

Quantile statistics

Minimum	1
5-th percentile	2309.95
Q1	11545.75
median	23090.5
Q3	34635.25
95-th percentile	44444.05
Maximum	47600
Range	47599
Interquartile range (IQR)	23089.5

Descriptive statistics

Standard deviation	13432.58594
Coefficient of variation (CV)	0.58020284
Kurtosis	-1.170883379
Mean	23151.53428
Median Absolute Deviation (MAD)	11545
Skewness	0.02392432839
Sum	1069137853
Variance	180434365
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
30781	1	< 0.1%
30783	1	< 0.1%
30784	1	< 0.1%
30785	1	< 0.1%
30786	1	< 0.1%
30787	1	< 0.1%
30788	1	< 0.1%
30789	1	< 0.1%
30790	1	< 0.1%
Other values (46170)	46170	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
47600	1	< 0.1%
47599	1	< 0.1%
47598	1	< 0.1%
47597	1	< 0.1%
47596	1	< 0.1%
47595	1	< 0.1%
47594	1	< 0.1%
47593	1	< 0.1%
47592	1	< 0.1%
47591	1	< 0.1%

Fecha
Categorical

HIGH CARDINALITY

Distinct	1846
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	360.9 KiB

2020-11-19	88
2020-03-31	79
2020-01-01	72
2016-09-27	71
2020-09-09	70
Other values (1841)	45800

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	461800
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	2018-03-09
2nd row	2018-12-28
3rd row	2016-03-28
4th row	2017-10-23
5th row	2017-11-22

Common Values

Value	Count	Frequency (%)
2020-11-19	88	0.2%
2020-03-31	79	0.2%
2020-01-01	72	0.2%
2016-09-27	71	0.2%
2020-09-09	70	0.2%
2020-05-27	69	0.1%
2020-09-11	69	0.1%
2020-04-13	69	0.1%
2020-03-30	67	0.1%
2020-01-09	66	0.1%
Other values (1836)	45460	98.4%

Length

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
30781	1	< 0.1%
30783	1	< 0.1%
30784	1	< 0.1%
30785	1	< 0.1%
30786	1	< 0.1%
30787	1	< 0.1%
30788	1	< 0.1%
30789	1	< 0.1%
30790	1	< 0.1%
Other values (46170)	46170	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
47600	1	< 0.1%
47599	1	< 0.1%
47598	1	< 0.1%
47597	1	< 0.1%
47596	1	< 0.1%
47595	1	< 0.1%
47594	1	< 0.1%
47593	1	< 0.1%
47592	1	< 0.1%
47591	1	< 0.1%

Fecha
Categorical

HIGH CARDINALITY

Distinct	1846
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	360.9 KiB

2020-11-19	88
2020-03-31	79
2020-01-01	72
2016-09-27	71
2020-09-09	70
Other values (1841)	45800

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	461800
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	2018-03-09
2nd row	2018-12-28
3rd row	2016-03-28
4th row	2017-10-23
5th row	2017-11-22

Common Values

Value	Count	Frequency (%)
2020-11-19	88	0.2%
2020-03-31	79	0.2%
2020-01-01	72	0.2%
2016-09-27	71	0.2%
2020-09-09	70	0.2%
2020-05-27	69	0.1%
2020-09-11	69	0.1%
2020-04-13	69	0.1%
2020-03-30	67	0.1%
2020-01-09	66	0.1%
Other values (1836)	45460	98.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-11-19	88	0.2%
2020-03-31	79	0.2%
2020-01-01	72	0.2%
2016-09-27	71	0.2%
2020-09-09	70	0.2%
2020-05-27	69	0.1%
2020-09-11	69	0.1%
2020-04-13	69	0.1%
2020-03-30	67	0.1%
2020-01-09	66	0.1%
Other values (1836)	45460	98.4%

Most occurring characters

Value	Count	Frequency (%)
0	112621	24.4%
-	92360	20.0%
2	81554	17.7%
1	76562	16.6%
7	16154	3.5%
9	15904	3.4%
5	15797	3.4%
8	15706	3.4%
6	15372	3.3%
3	11249	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	369440	80.0%
Dash Punctuation	92360	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	112621	30.5%
2	81554	22.1%
1	76562	20.7%
7	16154	4.4%
9	15904	4.3%
5	15797	4.3%
8	15706	4.3%
6	15372	4.2%
3	11249	3.0%
4	8521	2.3%

Dash Punctuation

Value	Count	Frequency (%)
-	92360	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	461800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	112621	24.4%
-	92360	20.0%
2	81554	17.7%
1	76562	16.6%
7	16154	3.5%
9	15904	3.4%
5	15797	3.4%
8	15706	3.4%
6	15372	3.3%
3	11249	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	461800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	112621	24.4%
-	92360	20.0%
2	81554	17.7%
1	76562	16.6%
7	16154	3.5%
9	15904	3.4%
5	15797	3.4%
8	15706	3.4%
6	15372	3.3%
3	11249	2.4%

Fecha_Entrega
Categorical

HIGH CARDINALITY

Distinct	2146
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Memory size	360.9 KiB

2018-06-19	71
2020-01-05	69
2020-01-24	66
2019-09-14	66
2020-02-25	61
Other values (2141)	45847

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	461800
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21 ?
Unique (%)	< 0.1%

Sample

1st row	2018-03-17
2nd row	2018-12-29
3rd row	2016-03-31
4th row	2017-10-24
5th row	2017-11-25

Common Values

Value	Count	Frequency (%)
2018-06-19	71	0.2%
2020-01-05	69	0.1%
2020-01-24	66	0.1%
2019-09-14	66	0.1%
2020-02-25	61	0.1%
2020-05-10	60	0.1%
2020-04-25	59	0.1%
2019-02-16	59	0.1%
2019-08-08	58	0.1%
2020-02-16	55	0.1%
Other values (2136)	45556	98.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-11-19	88	0.2%
2020-03-31	79	0.2%
2020-01-01	72	0.2%
2016-09-27	71	0.2%
2020-09-09	70	0.2%
2020-05-27	69	0.1%
2020-09-11	69	0.1%
2020-04-13	69	0.1%
2020-03-30	67	0.1%
2020-01-09	66	0.1%
Other values (1836)	45460	98.4%

Most occurring characters

Value	Count	Frequency (%)
0	112621	24.4%
-	92360	20.0%
2	81554	17.7%
1	76562	16.6%
7	16154	3.5%
9	15904	3.4%
5	15797	3.4%
8	15706	3.4%
6	15372	3.3%
3	11249	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	369440	80.0%
Dash Punctuation	92360	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	112621	30.5%
2	81554	22.1%
1	76562	20.7%
7	16154	4.4%
9	15904	4.3%
5	15797	4.3%
8	15706	4.3%
6	15372	4.2%
3	11249	3.0%
4	8521	2.3%

Dash Punctuation

Value	Count	Frequency (%)
-	92360	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	461800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	112621	24.4%
-	92360	20.0%
2	81554	17.7%
1	76562	16.6%
7	16154	3.5%
9	15904	3.4%
5	15797	3.4%
8	15706	3.4%
6	15372	3.3%
3	11249	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	461800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	112621	24.4%
-	92360	20.0%
2	81554	17.7%
1	76562	16.6%
7	16154	3.5%
9	15904	3.4%
5	15797	3.4%
8	15706	3.4%
6	15372	3.3%
3	11249	2.4%

Fecha_Entrega
Categorical

HIGH CARDINALITY

Distinct	2146
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Memory size	360.9 KiB

2018-06-19	71
2020-01-05	69
2020-01-24	66
2019-09-14	66
2020-02-25	61
Other values (2141)	45847

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	461800
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21 ?
Unique (%)	< 0.1%

Sample

1st row	2018-03-17
2nd row	2018-12-29
3rd row	2016-03-31
4th row	2017-10-24
5th row	2017-11-25

Common Values

Value	Count	Frequency (%)
2018-06-19	71	0.2%
2020-01-05	69	0.1%
2020-01-24	66	0.1%
2019-09-14	66	0.1%
2020-02-25	61	0.1%
2020-05-10	60	0.1%
2020-04-25	59	0.1%
2019-02-16	59	0.1%
2019-08-08	58	0.1%
2020-02-16	55	0.1%
Other values (2136)	45556	98.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2018-06-19	71	0.2%
2020-01-05	69	0.1%
2020-01-24	66	0.1%
2019-09-14	66	0.1%
2020-02-25	61	0.1%
2020-05-10	60	0.1%
2020-04-25	59	0.1%
2019-02-16	59	0.1%
2019-08-08	58	0.1%
2020-04-05	55	0.1%
Other values (2136)	45556	98.6%

Most occurring characters

Value	Count	Frequency (%)
0	112459	24.4%
-	92360	20.0%
2	81902	17.7%
1	76500	16.6%
5	16082	3.5%
7	15998	3.5%
9	15809	3.4%
6	15771	3.4%
8	15314	3.3%
3	10836	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	369440	80.0%
Dash Punctuation	92360	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	112459	30.4%
2	81902	22.2%
1	76500	20.7%
5	16082	4.4%
7	15998	4.3%
9	15809	4.3%
6	15771	4.3%
8	15314	4.1%
3	10836	2.9%
4	8769	2.4%

Dash Punctuation

Value	Count	Frequency (%)
-	92360	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	461800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	112459	24.4%
-	92360	20.0%
2	81902	17.7%
1	76500	16.6%
5	16082	3.5%
7	15998	3.5%
9	15809	3.4%
6	15771	3.4%
8	15314	3.3%
3	10836	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	461800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	112459	24.4%
-	92360	20.0%
2	81902	17.7%
1	76500	16.6%
5	16082	3.5%
7	15998	3.5%
9	15809	3.4%
6	15771	3.4%
8	15314	3.3%
3	10836	2.3%

IdCanal
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	360.9 KiB

2	20517
3	13248
1	12415

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	46180
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	2
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
2	20517	44.4%
3	13248	28.7%
1	12415	26.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2018-06-19	71	0.2%
2020-01-05	69	0.1%
2020-01-24	66	0.1%
2019-09-14	66	0.1%
2020-02-25	61	0.1%
2020-05-10	60	0.1%
2020-04-25	59	0.1%
2019-02-16	59	0.1%
2019-08-08	58	0.1%
2020-04-05	55	0.1%
Other values (2136)	45556	98.6%

Most occurring characters

Value	Count	Frequency (%)
0	112459	24.4%
-	92360	20.0%
2	81902	17.7%
1	76500	16.6%
5	16082	3.5%
7	15998	3.5%
9	15809	3.4%
6	15771	3.4%
8	15314	3.3%
3	10836	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	369440	80.0%
Dash Punctuation	92360	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	112459	30.4%
2	81902	22.2%
1	76500	20.7%
5	16082	4.4%
7	15998	4.3%
9	15809	4.3%
6	15771	4.3%
8	15314	4.1%
3	10836	2.9%
4	8769	2.4%

Dash Punctuation

Value	Count	Frequency (%)
-	92360	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	461800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	112459	24.4%
-	92360	20.0%
2	81902	17.7%
1	76500	16.6%
5	16082	3.5%
7	15998	3.5%
9	15809	3.4%
6	15771	3.4%
8	15314	3.3%
3	10836	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	461800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	112459	24.4%
-	92360	20.0%
2	81902	17.7%
1	76500	16.6%
5	16082	3.5%
7	15998	3.5%
9	15809	3.4%
6	15771	3.4%
8	15314	3.3%
3	10836	2.3%

IdCanal
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	360.9 KiB

2	20517
3	13248
1	12415

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	46180
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	2
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
2	20517	44.4%
3	13248	28.7%
1	12415	26.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	20517	44.4%
3	13248	28.7%
1	12415	26.9%

Most occurring characters

Value	Count	Frequency (%)
2	20517	44.4%
3	13248	28.7%
1	12415	26.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	46180	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	20517	44.4%
3	13248	28.7%
1	12415	26.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	46180	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	20517	44.4%
3	13248	28.7%
1	12415	26.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46180	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	20517	44.4%
3	13248	28.7%
1	12415	26.9%

IdCliente
Real number (ℝ_≥0)

Distinct	2961
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1502.635232

Minimum	1
Maximum	3407
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Value	Count	Frequency (%)
2	20517	44.4%
3	13248	28.7%
1	12415	26.9%

Most occurring characters

Value	Count	Frequency (%)
2	20517	44.4%
3	13248	28.7%
1	12415	26.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	46180	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	20517	44.4%
3	13248	28.7%
1	12415	26.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	46180	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	20517	44.4%
3	13248	28.7%
1	12415	26.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46180	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	20517	44.4%
3	13248	28.7%
1	12415	26.9%

IdCliente
Real number (ℝ_≥0)

Distinct	2961
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1502.635232

Minimum	1
Maximum	3407
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Quantile statistics

Minimum	1
5-th percentile	141
Q1	691
median	1359
Q3	2273
95-th percentile	3203
Maximum	3407
Range	3406
Interquartile range (IQR)	1582

Descriptive statistics

Standard deviation	972.5364043
Coefficient of variation (CV)	0.6472205521
Kurtosis	-1.020096277
Mean	1502.635232
Median Absolute Deviation (MAD)	730
Skewness	0.3681335027
Sum	69391695
Variance	945827.0576
Monotonicity	Not monotonic

Quantile statistics

Minimum	1
5-th percentile	141
Q1	691
median	1359
Q3	2273
95-th percentile	3203
Maximum	3407
Range	3406
Interquartile range (IQR)	1582

Descriptive statistics

Standard deviation	972.5364043
Coefficient of variation (CV)	0.6472205521
Kurtosis	-1.020096277
Mean	1502.635232
Median Absolute Deviation (MAD)	730
Skewness	0.3681335027
Sum	69391695
Variance	945827.0576
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
634	55	0.1%
721	52	0.1%
1292	49	0.1%
164	48	0.1%
900	48	0.1%
385	46	0.1%
1141	45	0.1%
3279	45	0.1%
483	44	0.1%
60	44	0.1%
Other values (2951)	45704	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	27	0.1%
2	29	0.1%
3	23	< 0.1%
4	29	0.1%
5	17	< 0.1%
6	15	< 0.1%
7	19	< 0.1%
8	21	< 0.1%
9	30	0.1%
10	4	< 0.1%

Value	Count	Frequency (%)
3407	25	0.1%
3406	32	0.1%
3405	20	< 0.1%
3404	26	0.1%
3403	19	< 0.1%
3402	14	< 0.1%
3401	14	< 0.1%
3400	9	< 0.1%
3399	26	0.1%
3398	10	< 0.1%

IdSucursal
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	30
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.78235167

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
634	55	0.1%
721	52	0.1%
1292	49	0.1%
164	48	0.1%
900	48	0.1%
385	46	0.1%
1141	45	0.1%
3279	45	0.1%
483	44	0.1%
60	44	0.1%
Other values (2951)	45704	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	27	0.1%
2	29	0.1%
3	23	< 0.1%
4	29	0.1%
5	17	< 0.1%
6	15	< 0.1%
7	19	< 0.1%
8	21	< 0.1%
9	30	0.1%
10	4	< 0.1%

Value	Count	Frequency (%)
3407	25	0.1%
3406	32	0.1%
3405	20	< 0.1%
3404	26	0.1%
3403	19	< 0.1%
3402	14	< 0.1%
3401	14	< 0.1%
3400	9	< 0.1%
3399	26	0.1%
3398	10	< 0.1%

IdSucursal
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	30
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.78235167

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	7
median	15
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	8.876539033
Coefficient of variation (CV)	0.6004821988
Kurtosis	-1.240470593
Mean	14.78235167
Median Absolute Deviation (MAD)	8
Skewness	0.1027025144
Sum	682649
Variance	78.7929452
Monotonicity	Not monotonic

Quantile statistics

Minimum	1
5-th percentile	1
Q1	7
median	15
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	8.876539033
Coefficient of variation (CV)	0.6004821988
Kurtosis	-1.240470593
Mean	14.78235167
Median Absolute Deviation (MAD)	8
Skewness	0.1027025144
Sum	682649
Variance	78.7929452
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
7	3262	7.1%
1	2340	5.1%
24	2204	4.8%
10	2180	4.7%
25	2154	4.7%
26	2124	4.6%
4	2096	4.5%
23	2051	4.4%
15	2013	4.4%
2	1961	4.2%
Other values (20)	23795	51.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2340	5.1%
2	1961	4.2%
3	1054	2.3%
4	2096	4.5%
5	939	2.0%
6	1497	3.2%
7	3262	7.1%
8	1759	3.8%
9	877	1.9%
10	2180	4.7%

Value	Count	Frequency (%)
31	800	1.7%
30	1277	2.8%
29	973	2.1%
27	1448	3.1%
26	2124	4.6%
25	2154	4.7%
24	2204	4.8%
23	2051	4.4%
22	605	1.3%
21	1625	3.5%

IdEmpleado
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	249
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2488.830858

Minimum	1011
Maximum	3979
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
7	3262	7.1%
1	2340	5.1%
24	2204	4.8%
10	2180	4.7%
25	2154	4.7%
26	2124	4.6%
4	2096	4.5%
23	2051	4.4%
15	2013	4.4%
2	1961	4.2%
Other values (20)	23795	51.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2340	5.1%
2	1961	4.2%
3	1054	2.3%
4	2096	4.5%
5	939	2.0%
6	1497	3.2%
7	3262	7.1%
8	1759	3.8%
9	877	1.9%
10	2180	4.7%

Value	Count	Frequency (%)
31	800	1.7%
30	1277	2.8%
29	973	2.1%
27	1448	3.1%
26	2124	4.6%
25	2154	4.7%
24	2204	4.8%
23	2051	4.4%
22	605	1.3%
21	1625	3.5%

IdEmpleado
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	249
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2488.830858

Minimum	1011
Maximum	3979
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Quantile statistics

Minimum	1011
5-th percentile	1079
Q1	1574
median	2468
Q3	3433
95-th percentile	3875
Maximum	3979
Range	2968
Interquartile range (IQR)	1859

Descriptive statistics

Standard deviation	960.2319333
Coefficient of variation (CV)	0.3858164689
Kurtosis	-1.537934081
Mean	2488.830858
Median Absolute Deviation (MAD)	912
Skewness	0.04120308887
Sum	114934209
Variance	922045.3656
Monotonicity	Not monotonic

Quantile statistics

Minimum	1011
5-th percentile	1079
Q1	1574
median	2468
Q3	3433
95-th percentile	3875
Maximum	3979
Range	2968
Interquartile range (IQR)	1859

Descriptive statistics

Standard deviation	960.2319333
Coefficient of variation (CV)	0.3858164689
Kurtosis	-1.537934081
Mean	2488.830858
Median Absolute Deviation (MAD)	912
Skewness	0.04120308887
Sum	114934209
Variance	922045.3656
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1675	620	1.3%
3504	531	1.1%
3603	531	1.1%
1674	525	1.1%
3186	519	1.1%
3346	503	1.1%
3875	485	1.1%
1961	328	0.7%
1676	323	0.7%
1967	323	0.7%
Other values (239)	41492	89.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1011	246	0.5%
1012	299	0.6%
1041	287	0.6%
1054	293	0.6%
1055	300	0.6%
1056	14	< 0.1%
1067	13	< 0.1%
1068	282	0.6%
1075	288	0.6%
1076	14	< 0.1%

Value	Count	Frequency (%)
3979	17	< 0.1%
3975	8	< 0.1%
3950	271	0.6%
3929	279	0.6%
3919	281	0.6%
3917	252	0.5%
3916	256	0.6%
3905	8	< 0.1%
3886	233	0.5%
3877	13	< 0.1%

IdProducto
Real number (ℝ_≥0)

Distinct	283
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42901.26438

Minimum	42737
Maximum	43043
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1675	620	1.3%
3504	531	1.1%
3603	531	1.1%
1674	525	1.1%
3186	519	1.1%
3346	503	1.1%
3875	485	1.1%
1961	328	0.7%
1676	323	0.7%
1967	323	0.7%
Other values (239)	41492	89.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1011	246	0.5%
1012	299	0.6%
1041	287	0.6%
1054	293	0.6%
1055	300	0.6%
1056	14	< 0.1%
1067	13	< 0.1%
1068	282	0.6%
1075	288	0.6%
1076	14	< 0.1%

Value	Count	Frequency (%)
3979	17	< 0.1%
3975	8	< 0.1%
3950	271	0.6%
3929	279	0.6%
3919	281	0.6%
3917	252	0.5%
3916	256	0.6%
3905	8	< 0.1%
3886	233	0.5%
3877	13	< 0.1%

IdProducto
Real number (ℝ_≥0)

Distinct	283
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42901.26438

Minimum	42737
Maximum	43043
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Quantile statistics

Minimum	42737
5-th percentile	42767
Q1	42833
median	42902
Q3	42974
95-th percentile	43030
Maximum	43043
Range	306
Interquartile range (IQR)	141

Descriptive statistics

Standard deviation	83.58848656
Coefficient of variation (CV)	0.001948392146
Kurtosis	-1.155513285
Mean	42901.26438
Median Absolute Deviation (MAD)	71
Skewness	-0.05958632538
Sum	1981180389
Variance	6987.035085
Monotonicity	Not monotonic

Quantile statistics

Minimum	42737
5-th percentile	42767
Q1	42833
median	42902
Q3	42974
95-th percentile	43030
Maximum	43043
Range	306
Interquartile range (IQR)	141

Descriptive statistics

Standard deviation	83.58848656
Coefficient of variation (CV)	0.001948392146
Kurtosis	-1.155513285
Mean	42901.26438
Median Absolute Deviation (MAD)	71
Skewness	-0.05958632538
Sum	1981180389
Variance	6987.035085
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
42975	235	0.5%
42838	230	0.5%
42915	225	0.5%
43031	221	0.5%
42931	220	0.5%
42886	209	0.5%
43029	208	0.5%
42840	207	0.4%
42812	206	0.4%
42779	205	0.4%
Other values (273)	44014	95.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
42737	135	0.3%
42754	175	0.4%
42755	153	0.3%
42756	150	0.3%
42757	195	0.4%
42758	160	0.3%
42759	151	0.3%
42760	131	0.3%
42761	125	0.3%
42762	158	0.3%

Value	Count	Frequency (%)
43043	186	0.4%
43042	156	0.3%
43041	138	0.3%
43040	138	0.3%
43039	156	0.3%
43038	159	0.3%
43037	181	0.4%
43036	187	0.4%
43035	188	0.4%
43034	171	0.4%

Precio
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	451
Distinct (%)	1.0%
Missing	920
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	5876.587015

Minimum	3
Maximum	33739200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
42975	235	0.5%
42838	230	0.5%
42915	225	0.5%
43031	221	0.5%
42931	220	0.5%
42886	209	0.5%
43029	208	0.5%
42840	207	0.4%
42812	206	0.4%
42779	205	0.4%
Other values (273)	44014	95.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
42737	135	0.3%
42754	175	0.4%
42755	153	0.3%
42756	150	0.3%
42757	195	0.4%
42758	160	0.3%
42759	151	0.3%
42760	131	0.3%
42761	125	0.3%
42762	158	0.3%

Value	Count	Frequency (%)
43043	186	0.4%
43042	156	0.3%
43041	138	0.3%
43040	138	0.3%
43039	156	0.3%
43038	159	0.3%
43037	181	0.4%
43036	187	0.4%
43035	188	0.4%
43034	171	0.4%

Precio
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	451
Distinct (%)	1.0%
Missing	920
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	5876.587015

Minimum	3
Maximum	33739200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Quantile statistics

Minimum	3
5-th percentile	156
Q1	438
median	654
Q3	1789
95-th percentile	3978
Maximum	33739200
Range	33739197
Interquartile range (IQR)	1351

Descriptive statistics

Standard deviation	251065.064
Coefficient of variation (CV)	42.72293821
Kurtosis	12531.59967
Mean	5876.587015
Median Absolute Deviation (MAD)	396
Skewness	109.2895317
Sum	265974328.3
Variance	6.303366634 × 10¹⁰
Monotonicity	Not monotonic

Quantile statistics

Minimum	3
5-th percentile	156
Q1	438
median	654
Q3	1789
95-th percentile	3978
Maximum	33739200
Range	33739197
Interquartile range (IQR)	1351

Descriptive statistics

Standard deviation	251065.064
Coefficient of variation (CV)	42.72293821
Kurtosis	12531.59967
Mean	5876.587015
Median Absolute Deviation (MAD)	396
Skewness	109.2895317
Sum	265974328.3
Variance	6.303366634 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
560	1530	3.3%
515	1529	3.3%
498	1336	2.9%
199	1090	2.4%
353.32	610	1.3%
456	508	1.1%
818.84	474	1.0%
354	437	0.9%
1159	365	0.8%
387	360	0.8%
Other values (441)	37021	80.2%
(Missing)	920	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	147	0.3%
13	180	0.4%
52	158	0.3%
79	163	0.4%
91	143	0.3%
111	167	0.4%
112	147	0.3%
113	175	0.4%
114	160	0.3%
123	303	0.7%

Value	Count	Frequency (%)
33739200	1	< 0.1%
25599200	1	< 0.1%
24580000	1	< 0.1%
20150000	1	< 0.1%
4560000	1	< 0.1%
1560000	1	< 0.1%
955504	4	< 0.1%
870364	3	< 0.1%
701162	4	< 0.1%
656986	3	< 0.1%

Cantidad
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	9
Distinct (%)	< 0.1%
Missing	884
Missing (%)	1.9%
Infinite	0
Infinite (%)	0.0%
Mean	2.388246203

Minimum	1
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
560	1530	3.3%
515	1529	3.3%
498	1336	2.9%
199	1090	2.4%
353.32	610	1.3%
456	508	1.1%
818.84	474	1.0%
354	437	0.9%
1159	365	0.8%
387	360	0.8%
Other values (441)	37021	80.2%
(Missing)	920	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	147	0.3%
13	180	0.4%
52	158	0.3%
79	163	0.4%
91	143	0.3%
111	167	0.4%
112	147	0.3%
113	175	0.4%
114	160	0.3%
123	303	0.7%

Value	Count	Frequency (%)
33739200	1	< 0.1%
25599200	1	< 0.1%
24580000	1	< 0.1%
20150000	1	< 0.1%
4560000	1	< 0.1%
1560000	1	< 0.1%
955504	4	< 0.1%
870364	3	< 0.1%
701162	4	< 0.1%
656986	3	< 0.1%

Cantidad
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	9
Distinct (%)	< 0.1%
Missing	884
Missing (%)	1.9%
Infinite	0
Infinite (%)	0.0%
Mean	2.388246203

Minimum	1
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	360.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	3
Maximum	300
Range	299
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	3.562044651
Coefficient of variation (CV)	1.491489716
Kurtosis	1737.477923
Mean	2.388246203
Median Absolute Deviation (MAD)	1
Skewness	28.27378552
Sum	108178
Variance	12.6881621
Monotonicity	Not monotonic

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	3
Maximum	300
Range	299
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	3.562044651
Coefficient of variation (CV)	1.491489716
Kurtosis	1737.477923
Mean	2.388246203
Median Absolute Deviation (MAD)	1
Skewness	28.27378552
Sum	108178
Variance	12.6881621
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2	22448	48.6%
3	11042	23.9%
1	10896	23.6%
20	459	1.0%
30	231	0.5%
10	215	0.5%
200	3	< 0.1%
100	1	< 0.1%
300	1	< 0.1%
(Missing)	884	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	10896	23.6%
2	22448	48.6%
3	11042	23.9%
10	215	0.5%
20	459	1.0%
30	231	0.5%
100	1	< 0.1%
200	3	< 0.1%
300	1	< 0.1%

Value	Count	Frequency (%)
300	1	< 0.1%
200	3	< 0.1%
100	1	< 0.1%
30	231	0.5%
20	459	1.0%
10	215	0.5%
3	11042	23.9%
2	22448	48.6%
1	10896	23.6%

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2	22448	48.6%
3	11042	23.9%
1	10896	23.6%
20	459	1.0%
30	231	0.5%
10	215	0.5%
200	3	< 0.1%
100	1	< 0.1%
300	1	< 0.1%
(Missing)	884	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	10896	23.6%
2	22448	48.6%
3	11042	23.9%
10	215	0.5%
20	459	1.0%
30	231	0.5%
100	1	< 0.1%
200	3	< 0.1%
300	1	< 0.1%

Value	Count	Frequency (%)
300	1	< 0.1%
200	3	< 0.1%
100	1	< 0.1%
30	231	0.5%
20	459	1.0%
10	215	0.5%
3	11042	23.9%
2	22448	48.6%
1	10896	23.6%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Spearman's ρ

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Pearson's r

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Kendall's τ

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Phik (φk)

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	IdVenta	Fecha	Fecha_Entrega	IdCanal	IdCliente	IdSucursal	IdEmpleado	IdProducto	Precio	Cantidad
0	1	2018-03-09	2018-03-17	3	969	13	1674	42817	813.12	2.0
1	2	2018-12-28	2018-12-29	2	884	13	1674	42795	543.18	3.0
2	3	2016-03-28	2016-03-31	2	1722	13	1674	42837	430.32	1.0
3	4	2017-10-23	2017-10-24	3	2876	13	1674	42834	818.84	2.0
4	5	2017-11-22	2017-11-25	2	678	13	1674	42825	554.18	3.0
5	6	2018-01-24	2018-01-25	2	3263	13	1674	42852	152.00	1.0
6	7	2015-03-25	2015-03-26	3	2983	13	1674	42939	2915.00	1.0
7	8	2017-07-10	2017-07-18	2	201	13	1674	42940	2162.00	2.0
8	9	2018-04-03	2018-04-06	2	1006	13	1674	42905	456.00	3.0
9	10	2019-03-16	2019-03-17	1	1003	13	1674	42894	515.00	2.0

Last rows

	IdVenta	Fecha	Fecha_Entrega	IdCanal	IdCliente	IdSucursal	IdEmpleado	IdProducto	Precio	Cantidad
46170	47591	2020-11-30	2020-12-07	2	388	18	3664	42997	485.00	2.0
46171	47592	2020-11-30	2020-12-04	2	1463	19	3481	43016	454.00	1.0
46172	47593	2020-11-30	2020-12-02	2	989	22	3842	42867	199.00	2.0
46173	47594	2020-11-30	2020-12-03	2	3201	23	3119	42763	2118.38	1.0
46174	47595	2020-11-30	2020-12-04	2	2931	24	3919	42899	199.00	2.0
46175	47596	2020-11-30	2020-12-09	1	193	26	3032	42850	279.00	2.0
46176	47597	2020-11-30	2020-12-07	3	333	26	3193	42799	1536.04	2.0
46177	47598	2020-11-30	2020-12-07	1	2389	27	3667	42916	1356.00	2.0
46178	47599	2020-11-30	2020-12-04	1	1067	29	3836	42935	2456.00	1.0
46179	47600	2020-11-30	2020-12-06	2	932	30	3864	42836	823.24	1.0

Overview

Variables

Overview

Variables

Common Values

Length

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks